{"id":"W3093891877","doi":"10.1093/cid/ciaa1479","title":"Association Between Minimum Inhibitory Concentration, Beta-lactamase Genes and Mortality for Patients Treated With Piperacillin/Tazobactam or Meropenem From the MERINO Study","year":2020,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Health and Medical Research Council","keywords":"Piperacillin/tazobactam; Meropenem; Medicine; Piperacillin; Tazobactam; Odds ratio; Internal medicine; Broth microdilution; Minimum inhibitory concentration; Beta-Lactamase Inhibitors; Microbiology; Gastroenterology; Antibiotics; Biology; Antibiotic resistance; Imipenem; Genetics; Bacteria; Pseudomonas aeruginosa","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001564023,0.000200812,0.0003424828,0.00000500926,0.0001789213,0.0000858466,0.0001226663,0.0001370026,0.00001946427],"category_scores_gemma":[0.001010135,0.0001277014,0.0001059988,0.00007075495,0.0001443919,0.00001556864,0.00006681768,0.00008190399,0.000003184836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414769,"about_ca_system_score_gemma":0.000103786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004170547,"about_ca_topic_score_gemma":0.0001448151,"domain_scores_codex":[0.9983138,0.0003146286,0.0005022883,0.0005153993,0.0001675807,0.0001863138],"domain_scores_gemma":[0.9984909,0.0004870087,0.0003299539,0.0002562978,0.0002373927,0.0001984339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004213528,0.0005209247,0.9959038,0.00001318682,0.0007496182,0.000001498355,0.00003909733,0.000003197348,0.0004764511,5.86179e-7,0.001237505,0.0006327479],"study_design_scores_gemma":[0.002561376,0.002509278,0.9919381,0.00001048644,0.0008028711,6.310335e-8,0.00009782005,0.00001358181,0.0009452489,0.000004890304,0.0009255784,0.000190764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997688,0.0001492952,0.0001022806,0.000139793,0.0001199144,0.00104248,0.0007121375,0.00003196405,0.00001411119],"genre_scores_gemma":[0.9975833,0.0001562773,0.00001477093,0.0004846258,0.0008654018,0.00004229529,0.0007942164,0.00002481505,0.00003434235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003965792,"threshold_uncertainty_score":0.5207512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399558062250738,"score_gpt":0.3190517721152251,"score_spread":0.2850561914927177,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}